Spatial Hypertext for End-User Development Tools

Proceedings of the 2nd International Workshop on Human Factors in Hypertext

Roßner

2019

Self Cite

In this paper, we describe our project DemoMedia, a software demonstrator that combines hypertext and recommender functionality in the context of video acquisition or use. DemoMedia fills the gap that exists in today's video platforms which include recommender functionalities, but only trivial support for users to structure information. Thus, users are forced to write down notes from or about videos (needed for various reasons) on additional media, such as paper. This opens a media gap between video platform and notetaking or communication to others. DemoMedia becomes a note taking and communication tool for the user, as it offers a knowledge space on which users can freely arrange and associate information. Furthermore, its intelligent parsers compute relations that are implicitly expressed and queries knowledge bases for relevant information or related videos. Those get positioned on the space in a semantically meaningful way. DemoMedia and the underlying component-based open hypermedia system Mother combine both the machine's capability of extracting knowledge from huge amounts of data and the human capability of sensemaking, intuition, and creativity. CCS CONCEPTS • Human-centered computing → User studies; Hypertext / hypermedia; Graphical user interfaces.

Section: Discussionmentioning

confidence: 99%

“…(1) Jane (84), pensioner. Figure 2: Decision making for selecting a movie or video, adapted from [11] (2) Amy (26) and Ben (5), mother works as welder in the industry, son attends kindergarten, family. Co-viewing OTT.…”

Section: Four Usage Scenariosmentioning

confidence: 99%

Intelligent Hypertext for Video Selection

Purucker

Proceedings of the 2nd International Workshop on Human Factors in Hypertext

Roßner

2019

Self Cite

“…While this is a very generic scenario, we narrow it down as follows: A system allows a user to add, remove and manipulate nodes in a 2D space. The "content" of these is not of interest for this system, they might represent software components in a development tool [27], query phrases of an information retrieval tool [15] or simple keywords. Comparable to VIKI [22], the system uses a spatial parser to interpret visual relationships between nodes and queries a knowledge base for suggestions.…”

Section: Introductionmentioning

confidence: 99%

Visualization of the Relevance

Roßner

Proceedings of the 30th ACM Conference on Hypertext and Social Media

Gross

2019

Self Cite

The task of organizing and retrieving knowledge is often elaborative and involves different types of media including digital or analog. In this paper we describe a system that is based on related research in the fields of spatial hypertext, information retrieval, and visualization. It utilizes a 2D space on which users can add, remove, or manipulate information entities (so-called user nodes) visually. A spatial parser recognizes the evolving structure and queries a knowledge base for helpful other information entities (so-called suggestions nodes).Similar to user nodes, those suggestions are presented as visual objects in the space. We propose a physics model to simulate their behavior. Their characteristics encode the relevance of suggestions to user nodes and to each other. This enables human recipients to interpret the given visual clues and, thus, identify information of interest. The way users organize nodes spatially influences the parsed spatial structures, i.e., the placement of suggestion nodes. This allows the creation of complex queries without any prior knowledge, yet the users do not have to be aware of that, because they can express their thoughts implicitly by manipulating their nodes.We discuss the strengths of a physics based simulation to encode context visually and point to open issues and potential solutions. On the basis of an implemented demonstrator we show the benefits compared to similar and related applications in the field of information visualization, especially when it comes to tasks where a high portion of creativity is involved and the information space is not well known.

“…HEIMDALL's preliminary UI (taken from[42]): user added Cubbles (right) and prioritized list of suggested Cubbles (left)…”

mentioning

confidence: 99%

Hypertext as Method

Proceedings of the 30th ACM Conference on Hypertext and Social Media

Nürnberg

2019

Self Cite

Historically, there has been a tendency to consider hypertext as a type of system, perhaps characterized by provision of links or other structure to users. In this paper, we consider hypertext as a method of inquiry, a way of viewing arbitrary systems. In this view, what are traditionally called "navigational hypertext systems" might be considered as information retrieval systems, "spatial hypertext systems" as brainstorming systems, etc., while their "hypertext" nature results from the way in which such systems are conceived, developed, and/or presented. The benefit of such a shift is the ability to apply this hypertextual method of inquiry to systems not normally considered part of the hypertext community. In this paper, we specifically apply this view to artificial intelligence, and examine how this application can be productive. CCS CONCEPTS• Human-centered computing → Hypertext / hypermedia; Graphical user interfaces; User centered design; • Software and its engineering → Software infrastructure.